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  • 标题:SUBJECTIVE CONTENT ACCESSIBILITY USING DATABASE APPROACH FOR DIGITAL LIBRARY
  • 本地全文:下载
  • 作者:Sachin yele ; Surendra Mishra ; Kamlesh Patidar
  • 期刊名称:International Journal on Computer Science and Engineering
  • 印刷版ISSN:2229-5631
  • 电子版ISSN:0975-3397
  • 出版年度:2011
  • 卷号:3
  • 期号:3
  • 页码:1040-1049
  • 出版社:Engg Journals Publications
  • 摘要:Today�s digital library is a massive collection of various types and categories of documents. The existing search engines do not provide subjective search from the collection, as no information about context is stored. The existing search engine mostly uses the agent based search then the database based search. The database search is simpler easier but static verses dynamic Web. The work shows how database become dynamic, subjective and search query becomes simpler. The subjective and context based search is necessity of searching in Digital Library. The user who may be researcher, students, and even common person expect subject or context and need content accessibility precise and subject specific. This paper presents the topic-word specific subjective search using the database approach in digital library, by data mining technique in warehouse.
  • 关键词:Warehouse & data mining; Database; Metadata; Accessibility; Content accessibility; data mart - lib mart.
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